Stochastic Differential Systems

Stochastic Differential Systems is a mathematical framework that models dynamical systems influenced by random noise through a set of differential equations incorporating stochastic processes, distinguishing it from deterministic systems by the explicit inclusion of probabilistic elements to account for uncertainty and randomness in system behavior.

2.5K

Publications

145.3K

Citations

3.3K

Authors

1.3K

Institutions

Publications per year

2017–2026

523

Authors

3.3K

  1. XM
    Xuerong Mao

    University of Strathclyde, United Kingdom

    41 publications · 3.6K citations

    28

    h-index

  2. QZ
    Quanxin Zhu

    Hunan Normal University, China

    24 publications · 1.3K citations

    17

    h-index

  3. TC
    Tomás Caraballo

    Universidad de Sevilla, Spain

    16 publications · 760 citations

    16

    h-index

  4. PB
    P. Balasubramaniam

    Gandhigram Rural Institute, India

    16 publications · 469 citations

    15

    h-index

  5. CY
    Chenggui Yuan

    Swansea University, United Kingdom

    17 publications · 1.1K citations

    15

    h-index

1–5 of 3.3K

Venues

  1. IEEE Transactions on Automatic Control

    70 publications · 8.2K citations

    39

    h-index

  2. SIAM Journal on Control and Optimization

    51 publications · 4.6K citations

    32

    h-index

  3. Stochastic Processes and their Applications

    68 publications · 4.1K citations

    30

    h-index

  4. Automatica

    52 publications · 3.9K citations

    30

    h-index

  5. Stochastic Analysis and Applications

    73 publications · 3.1K citations

    29

    h-index

1–5